On the substructure countability of graph neural networks

With the empirical success of Graph Neural Networks (GNNs) on graph-related tasks, it is intriguing to investigate their theoretical power on these tasks. In this paper, we focus on GNNs' theoretical power on substructure counting, a fundamental yet challenging task in many applications. Previo...

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Bibliographic Details
Main Authors: XIA, Wenwen, LI, Yuchen, LI, Shenghong
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
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Online Access:https://ink.library.smu.edu.sg/sis_research/7623
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Institution: Singapore Management University
Language: English
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